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Steady-State Performance of Incremental Learning over Distributed Networks for Non-Gaussian Data

Li, L, Zhang, Y, Chambers, JA and Sayed, AH (2008) Steady-State Performance of Incremental Learning over Distributed Networks for Non-Gaussian Data In: 9th International Conference on Signal Processing, 2008-10-26 - 2008-10-29, Beijing, PEOPLES R CHINA.

Full text not available from this repository.
Item Type: Conference or Workshop Item (UNSPECIFIED)
Authors :
NameEmailORCID
Li, LUNSPECIFIEDUNSPECIFIED
Zhang, YUNSPECIFIEDUNSPECIFIED
Chambers, JAj.a.chambers@surrey.ac.ukUNSPECIFIED
Sayed, AHUNSPECIFIEDUNSPECIFIED
Date : 1 January 2008
Contributors :
ContributionNameEmailORCID
UNSPECIFIEDYuan, BZUNSPECIFIEDUNSPECIFIED
UNSPECIFIEDRuan, QQUNSPECIFIEDUNSPECIFIED
UNSPECIFIEDTang, XFUNSPECIFIEDUNSPECIFIED
publisherIEEE, UNSPECIFIEDUNSPECIFIED
Uncontrolled Keywords : Science & Technology, Technology, Engineering, Electrical & Electronic, Engineering, Adaptive filters, distributed estimation, energy conservation, incremental algorithm
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:25
Last Modified : 17 May 2017 13:25
URI: http://epubs.surrey.ac.uk/id/eprint/839184

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